FDA Food Recalls Scraper

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from $0.01 / 1,000 recall record saveds

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👁 FDA Food Recalls Scraper

FDA Food Recalls Scraper

Try for free

🥫 Monitor and export FDA/OpenFDA food recall records by product, firm, risk class, status, geography, and dates.

Pricing

from $0.01 / 1,000 recall record saveds

Rating

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(0)

Developer

👁 Stas Persiianenko

Stas Persiianenko

Maintained by Community

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Total users

Monthly active users

6 days ago

Last modified

What does FDA Food Recalls Scraper do?

FDA Food Recalls Scraper collects food recall and enforcement records from the public OpenFDA food enforcement endpoint.

Use it to:

🥫 Monitor new FDA food recalls by report date
🧾 Export recall evidence for compliance files
🏭 Track recalls for a specific recalling firm
⚠️ Filter Class I and Class II recalls for risk workflows
🌎 Watch recalls by state or country
🔎 Search product descriptions and recall reasons by keyword
📊 Feed recall data into BI dashboards, data warehouses, or alerts

Who is it for?

This actor is built for teams that need repeatable recall monitoring instead of manual FDA searches.

Typical users include:

Food manufacturers watching related products and ingredients
Importers and distributors checking supplier risk
Grocers and restaurant groups monitoring products in their supply chain
Compliance consultants preparing recall reports
Food safety teams tracking Class I and Class II events
Data teams building automated recall dashboards
Legal and insurance teams collecting recall evidence

Why use this actor?

Manual recall monitoring is easy to miss and hard to export consistently. This actor gives you a scheduled, API-friendly workflow with structured outputs.

Benefits:

✅ Official OpenFDA source
✅ No login required
✅ Scheduled monitoring on Apify
✅ Clean dataset exports
✅ Stable field names for integrations
✅ Source API URL on every row
✅ FDA iRES record URL when an event ID is available

Data source

The actor queries:

https://api.fda.gov/food/enforcement.json

OpenFDA food enforcement data includes recall and enforcement report records published by the FDA. Availability and updates depend on the FDA/OpenFDA source.

Input overview

You can run a broad recall feed or narrow the feed with structured filters.

Main filters:

productKeywords searches product descriptions and recall reasons
recallingFirm filters by recalling firm name
classifications filters risk class values
statuses filters recall status values
states and countries filter recalling-firm geography
reportDateFrom and reportDateTo filter FDA report dates
initiationDateFrom and initiationDateTo filter recall initiation dates
query accepts an advanced raw OpenFDA search expression
maxItems limits the number of records saved

Example input

{
"productKeywords":["allergen"],
"classifications":["Class I","Class II"],
"statuses":["Ongoing"],
"reportDateFrom":"2024-01-01",
"maxItems":100,
"sortBy":"report_date",
"sortDirection":"desc"
}

Advanced query input

Use query if you already know OpenFDA search syntax.

Example:

{
"query":"classification:\"Class I\" AND status:\"Ongoing\"",
"maxItems":250
}

Structured fields are easier for most users. Advanced query is there for teams that need exact OpenFDA expressions.

Output data

Each dataset item is one FDA food recall/enforcement record.

Field	Description
`recallNumber`	FDA recall number
`eventId`	FDA event ID
`classification`	FDA recall classification
`status`	Recall status
`productType`	Product type
`recallingFirm`	Firm responsible for the recall
`productDescription`	Product description
`reasonForRecall`	FDA reason for recall
`distributionPattern`	Distribution details
`recallInitiationDate`	Recall initiation date
`reportDate`	FDA report date
`centerClassificationDate`	FDA center classification date
`terminationDate`	Termination date when available
`voluntaryMandated`	Voluntary or mandated recall indicator
`initialFirmNotification`	Initial firm notification method
`productQuantity`	Product quantity
`codeInfo`	Code information
`moreCodeInfo`	Additional code information
`city`	Firm city
`state`	Firm state
`country`	Firm country
`postalCode`	Firm postal code
`address`	Combined address
`sourceApiUrl`	Exact OpenFDA API URL used for the page
`sourceRecordUrl`	FDA iRES event link when possible
`scrapedAt`	Actor extraction timestamp

Example output

{
"recallNumber":"F-1234-2026",
"eventId":"98765",
"classification":"Class I",
"status":"Ongoing",
"recallingFirm":"Example Foods Inc.",
"productDescription":"Example product description",
"reasonForRecall":"Undeclared allergen",
"reportDate":"2026-06-10",
"state":"CA",
"country":"United States",
"sourceRecordUrl":"https://www.accessdata.fda.gov/scripts/ires/?Event=98765",
"scrapedAt":"2026-06-21T00:00:00.000Z"
}

How much does it cost to scrape FDA food recalls?

This actor uses pay-per-event pricing.

A small start event is charged once per run.
A result event is charged for each recall record saved.
You control spend with maxItems and filters.

Use a small maxItems value for the first test run. Increase it for scheduled monitoring or historical exports.

How to run

Open the actor on Apify.
Choose product keywords, date range, and recall classifications.
Set maxItems to the number of records you need.
Run the actor.
Export results as JSON, CSV, Excel, XML, or RSS.

Monitoring workflow

For recall monitoring, schedule the actor daily or weekly.

Recommended monitoring setup:

Set reportDateFrom to a recent date
Filter statuses to Ongoing
Filter classifications to Class I and Class II
Use a moderate maxItems, such as 100 or 500
Connect the dataset to a webhook, Slack alert, data warehouse, or dashboard

Supplier risk workflow

For supplier checks, use recallingFirm with date filters.

Example use cases:

Check a supplier before onboarding
Monitor a high-risk vendor
Review recent recalls during audits
Export firm-specific recall history for compliance files

Product keyword workflow

Use productKeywords for ingredients, product categories, contaminants, or allergens.

Examples:

peanut butter
milk
salmonella
listeria
undeclared allergen
foreign material

Tips for better results

Use exact FDA terms when possible.
Start broad, then narrow with classification and date filters.
Use reportDateFrom for recurring monitoring.
Use recallInitiationDateFrom for operational recall timelines.
Use the advanced query field only if you know OpenFDA syntax.
Keep maxItems low during testing.

Integrations

You can integrate this actor with:

Google Sheets for recall watchlists
Airtable for compliance tracking
Snowflake or BigQuery for analytics
Slack or email alerts through Apify webhooks
CRM or supplier-risk platforms
Internal food safety dashboards
MCP-compatible AI workflows

API usage with Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token: process.env.APIFY_TOKEN});
const run =await client.actor('automation-lab/fda-food-recalls-scraper').call({
productKeywords:['allergen'],
classifications:['Class I','Class II'],
statuses:['Ongoing'],
reportDateFrom:'2024-01-01',
maxItems:100,
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API usage with Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('automation-lab/fda-food-recalls-scraper').call(run_input={
'productKeywords':['allergen'],
'classifications':['Class I','Class II'],
'statuses':['Ongoing'],
'reportDateFrom':'2024-01-01',
'maxItems':100,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

API usage with cURL

curl-X POST "https://api.apify.com/v2/acts/automation-lab~fda-food-recalls-scraper/runs?token=$APIFY_TOKEN"\
-H'Content-Type: application/json'\
-d'{"productKeywords":["allergen"],"classifications":["Class I","Class II"],"statuses":["Ongoing"],"reportDateFrom":"2024-01-01","maxItems":100}'

MCP usage

Use this actor from MCP-enabled tools through Apify MCP.

MCP URL:

https://mcp.apify.com/?tools=automation-lab/fda-food-recalls-scraper

Add it to Claude Code:

$claude mcp add apify-fda-food-recalls https://mcp.apify.com/?tools=automation-lab/fda-food-recalls-scraper

Example MCP server configuration:

{
"mcpServers":{
"apify-fda-food-recalls":{
"url":"https://mcp.apify.com/?tools=automation-lab/fda-food-recalls-scraper"
}
}
}

Example prompts:

"Find the latest ongoing Class I food recalls involving allergens."
"Export FDA food recall records for this supplier since 2024."
"Summarize recent FDA food recalls by state and classification."

Legality and responsible use

This actor uses publicly available OpenFDA data. You are responsible for how you use the exported records and for complying with your organization's regulatory, legal, and data-retention requirements.

OpenFDA data can change over time. Always verify high-impact compliance decisions against the original FDA record.

FAQ

Why did I get zero results?

Your filters may be too narrow. Try removing recallingFirm, widening the date range, or using fewer keywords.

Why does the actor use the OpenFDA API instead of FDA web pages?

The official API is more stable, structured, and automation-friendly. FDA HTML pages may be protected or change without notice.

Why are some fields empty?

OpenFDA records do not always contain every field. The actor keeps optional fields as null when the source does not provide them.

Related scrapers

Related Apify actors from Automation Lab may include public-data, compliance, and regulator monitoring actors as the portfolio grows:

Changelog

0.1 — Initial FDA/OpenFDA food recalls actor with structured filters and normalized recall output.

Support

If you need a new filter, field, or integration pattern, open an issue through the Apify actor page.

Summary

FDA Food Recalls Scraper turns public OpenFDA food enforcement data into a repeatable monitoring and export workflow for food safety, compliance, and supply-chain risk teams.

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URL: https://apify.com/automation-lab/fda-food-recalls-scraper